ONIQ combines AI and proven Lean Manufacturing methodology to deliver continuous value stream transparency, faster decision-making and tangible performance improvement.
ONIQ helps operations teams make faster, better decisions every day. It continuously analyzes production performance, uncovers inefficiencies, and recommends actions to drive measurable improvement.
ONIQ provides automated, real-time visibility into all value streams. The resulting Digital Value Stream maps actual material flows across all production stages and links them through the bill of materials into one end-to-end view. Instead of manual snapshots, teams get a continuously updated, complete picture of their production, with no manual process mapping required.
Integrated Lean Analytics and autonomous AI agents continuously analyze value streams including waste, bottlenecks, WIP build-up, and deviations from target values. The most critical focus areas are prioritized automatically, with root causes explained directly in the value stream context. Instead of searching for problems, teams work on the levers that deliver the greatest impact.
ONIQ is grounded in proven Lean methodology. Every result is rooted in real production logic and traceable down to the last detail. Production teams are productive from day one, with no need to learn new methods and no specialized knowledge in AI or data analysis required. The focus stays where it belongs: on improving production processes.
ONIQ automatically generates a validated Digital Value Stream that captures equipment performance, order and material flows, and cross-product dependencies through the bill of materials, all linked together. This makes it possible to trace how changes at one point affect the entire value stream. Because all analyses and recommendations operate on this validated foundation, results are reliable, traceable, and grounded in real production logic.
ONIQ does not rely on generic data models. It analyzes value streams based on proven Lean methods and manufacturing-specific KPIs. AI-powered techniques deepen these analyses, for example in root cause investigation or in detecting complex interdependencies, but remain tied to the underlying methodology. This means results that production teams can immediately interpret and put to work in their existing improvement processes.
ONIQ is productive out of the box, with no lengthy onboarding and no specialized knowledge in AI or data analysis required. All results and analyses are accessible through intuitive interfaces and a chat-based experience, using the language and methods that production teams already work with. This makes insights available across the entire organization, from the shop floor to the C-suite.
ONIQ can be deployed either in the ONIQ Cloud or in the customer’s own cloud environment and meets the highest security standards. Organizations also choose which Large Language Models are used. This ensures full compliance with IT governance and data privacy requirements, with no trade-offs in functionality.
ONIQ connects flexibly to existing IT systems such as ERP, MES, or shop floor data collection, regardless of vendor. Implementation typically takes just a few days and requires neither complex IT projects nor additional infrastructure. Once running, ONIQ operates fully automated with no manual maintenance required.
Production data is rarely perfect. ONIQ automatically detects implausible transaction data and can exclude it from analyses. This keeps results reliable even when source data is incomplete or flawed. At the same time, ONIQ makes data quality itself transparent and analyzable, so organizations can improve it systematically over time.
Live digital value stream from existing production data - for continuous value stream analysis.
Integrated analyses to increase manufacturing excellence: reduce bottlenecks, cut WIP, improve OEE and on-time delivery, among others.
Autonomous AI-based monitoring, proactive alerts and actionable guidance.
Simulation of the impact of production changes directly on the Digital Value Stream, with no additional modeling effort.
ONIQ combines artificial intelligence with proven Lean Manufacturing methodology in one platform. It gives production teams continuous transparency, faster decisions and measurable performance improvement across every value stream.
ONIQ is purpose built for discrete manufacturing, not generic office process mining. It combines data based value stream analysis, bottleneck detection and schedule deviation tracking with proven Lean tools such as Kaizen and value stream design. The AI-based software continuously analyzes production performance, uncovers inefficiencies, and recommends actions to drive measurable improvement. By combining Lean methodology with AI, ONIQ supports teams with clear, actionable guidance - making continuous improvement more efficient and scalable.
ONIQ is built primarily for environments where a countable unit such as an order, a piece or a batch serves as the basis for analysis. It also works well in hybrid environments like packaging or batch-based processes with clear order units. For purely continuous processes without piece or order logic, our team runs a short data workshop to check whether a meaningful reference unit can be established.
Yes. This is exactly where ONIQ delivers the strongest results. Products and orders can be grouped into categories and types, so statistically robust insights into lead times, bottlenecks and schedule deviation emerge even with high variance or lot size 1.
ONIQ is typically operational within a few days, connecting to your existing systems without complex IT projects. First meaningful analyses are usually available within a few weeks. Customers have used ONIQ to lift OEE by up to 20 percent during ramp up and cut throughput times by up to 50 percent.
Perfect data is not required. ONIQ connects directly to existing source systems, processes raw production data, and flags incomplete or inconsistent information. This creates a reliable foundation for analytics and AI while helping manufacturers improve data quality over time.
ONIQ is built for production teams, not data scientists. ONIQ uses the KPIs, structures and language manufacturing teams already work with, so no specialized AI or data analysis knowledge is required to use it productively from day one. ONIQ supports production managers, plant managers, process engineers, continuous improvement teams, operations excellence leaders, and shopfloor teams. It helps them identify performance losses, prioritize improvement opportunities, and make data-driven decisions across production.
